Usporedba alata za vizualizaciju podataka

Bižaca, Roko

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master's thesis

Usporedba alata za vizualizaciju podataka

Split: University of Split, Faculty of economics Split, 2017. urn:nbn:hr:124:046958

Bižaca, Roko

University of Split
Faculty of economics Split

Cite this document

APA 6th Edition

Bižaca, R. (2017). Usporedba alata za vizualizaciju podataka (Master's thesis). Split: University of Split, Faculty of economics Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:124:046958

MLA 8th Edition

Bižaca, Roko. "Usporedba alata za vizualizaciju podataka." Master's thesis, University of Split, Faculty of economics Split, 2017. https://urn.nsk.hr/urn:nbn:hr:124:046958

Chicago 17th Edition

Bižaca, Roko. "Usporedba alata za vizualizaciju podataka." Master's thesis, University of Split, Faculty of economics Split, 2017. https://urn.nsk.hr/urn:nbn:hr:124:046958

Harvard

Bižaca, R. (2017). 'Usporedba alata za vizualizaciju podataka', Master's thesis, University of Split, Faculty of economics Split, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:124:046958

Vancouver

Bižaca R. Usporedba alata za vizualizaciju podataka [Master's thesis]. Split: University of Split, Faculty of economics Split; 2017 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:124:046958

IEEE

R. Bižaca, "Usporedba alata za vizualizaciju podataka", Master's thesis, University of Split, Faculty of economics Split, Split, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:124:046958

Cite this item: https://urn.nsk.hr/urn:nbn:hr:124:046958

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Metadata

Title	Usporedba alata za vizualizaciju podataka
Author	Roko Bižaca
Mentor	Maja Ćukušić (mentor) MBZ: 300571
Granter	University of Split Faculty of economics Split Split
Defense date and country	2017-09, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Economics Business Informatics
Abstract	Informacija se u modernom poslovanju smatra resursom. Kvaliteta poslovne odluke u pozitivnom je korelacijskom odnosu sa kvalitetom dostupnih informacija. Poslovna inteligencija proces je prikupljanja relevantnih i dostupnih informacija informacija te se danas smatra jednom od osnovnih konkurentskih prednosti. Višedimenzijske podatkovne strukture temelj su moderne poslovne inteligencije. Analize provedene nad takvim podacima često generiraju više novih pitanja nego što daju odgovora. Zbog ove problematike, moderna analitička rješenja usmjerena su na vizualizaciju podataka kako bi korisnik što brže mogao saznati esenciju nekog niza podataka. Tržište je danas puno alata za vizualizaciju podataka, a ovaj diplomski rad komparira najpopularnija rješenja. U nizu alata odabrani su Tableau i Power BI kao tržišni predvodnici te su detaljno uspoređeni prema funkcionalnostima ali i empirijski. Ovaj diplomski rad pokušava dati odgovor na pitanje koje rješenje je najprimjerenije za određenog korisnika, odnosno organizaciju.
Abstract (english)	Information is being considered as a resource in modern business. The quality of a business decision is in a positive correlation with the quality of available information. Business intelligence is a process of collecting relevant and accessible information and is one of the core competitive advantages in the modern market. Multi-dimensional data structures are the foundation of modern business intelligence. Analysis of such data often generates more questions than answers which creates a problem for the decision maker. Therefore, modern analytical solutions are more focused on data visualization than ever before. Using visual techniques, user can find out the essence of a certain data within seconds. There are a lot of tools that support data visualization in the modern market. Tableau and Power BI were chosen as market leaders, and were compared in detail regarding their functionalities. User experience experiment was also carried out to see which of these two performs better. This master thesis is trying to help users choose which visualization tool is the most appropriate for them or their organization.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:124:046958
Study programme	Title: Business Studies Study programme type: university Study level: graduate Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	REFST
Created on	2017-11-27 15:23:56

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